date_rangeMay 01, 2020
Python has been the buzzword in the programming community for some time now. Python has been around since it was created in the year 1991, but it has gained popularity in the past few years. Many applications use Python and there has been a need for skilled Python Programmers across the globe.
Python is used in many fields and by many advanced technologies. Python has libraries that greatly help fields like AI, Machine Learning, etc. But is this popular language here to stay? Does it have any scope in the future? Let’s take a look at the Future Scope Of Python Programming in this article.
ARTIFICIAL INTELLIGENCE (AI)
In computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. - Wiki Pedia
A lot of research is going on in the field of AI since it can be applied to many complex applications in the Travel, Health, Entertainment sectors, to name a few. Many large firms have invested in AI research across the globe and are working towards finding solutions that will change the way many industries function.
Python has many libraries and tools that support AI work, as compared to other languages. This makes Python a favorite language of many programmers in this field.
MACHINE LEARNING (ML)
Machine Learning is a subset of AI. It deals with the ability of systems to learn and grow from their previous experience without any human intervention. Machine Learning has a lot of uses in functionalities like Video Recommendations on online streaming sites, Social Media, Virtual Personal Assistants, etc. There are subsets of Machine Learning like Supervised Learning, Unsupervised Learning, and Reinforcement Learning.
The ease of use of Python Programming Language along with many helpful libraries like Numpy, Skikit-learn, Keras, TensorFlow, Matplotlib has made it find extensive usage in Machine Learning applications.
The past few years have seen an exponential increase in the amount of data generated across the world.
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining and big data. - Wikipedia
Python is a very versatile language and hence finds a lot of uses in different areas of Data Science. The extensive library support of Python helps analyze and work with large amounts of data.
Python has found its way into the Networking field since it is highly secure and provides library support. Router configuration and other networking tasks can be automated using Python.
Python is also used in Web Development by many companies. It provides many security features, has a lot of library support, and has frameworks like Django and Flask that make the work of programmers easier.
EXTENSIVE LIBRARY SUPPORT
Python has many libraries related to Machine Learning, Data Science, etc. They make the work of programmers easier since they can reuse the library.
EASY AND READABLE LANGUAGE
The syntax of Python is easy to read and it can be easily learned by even beginners. This is why many people prefer Python.
OPEN SOURCE AND FREE
Python is a Free and Open Source language. This makes a variety of smaller as well as bigger firms want to use Python.
ENORMOUS COMMUNITY SUPPORT
The community of Python Programmers is very large. So whenever anyone has a coding doubt or challenge, they can receive help and information from fellow community members. This is exceptionally helpful to people working on complex applications.
After seeing so many benefits of using Python we can understand why it is so popularly used. The Future of Python in the industry looks bright because of it’s extensive use in upcoming fields and it’s great features. Python is already being used by many tech giants like Facebook and Google. There will be a huge requirement for skilled Python programmers due to the enormous opportunities that are opening across sectors. This is a good time to upskill and learn Python if you wish to move into any of the cool fields of the industry.
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